Associate Director, Data Product

About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. We bring together a multidisciplinary team spanning machine learning, bioinformatics, data science, engineering, and drug development, in Toronto, ON and in Cambridge, MA, to revolutionize modern medicine. Where You Fit InThe Associate Director, Data Product, reporting to the VP of Platform Technology, will play a key leadership role, guiding a team of talented scientists to drive innovative computational solutions in support of our AI-guided drug discovery and development programs. This individual will be responsible for setting the scientific and strategic direction for computational biology, overseeing the design and execution of next-generation sequencing data analyses, and ensuring the delivery of high-quality, actionable insights that advance our pipeline.As both a hands-on scientific leader and an effective people manager, the Associate Director will foster a collaborative and inclusive team environment, mentor and develop team members, and ensure the group’s technical excellence. The successful candidate will work closely with cross-functional partners—ML, Target ID, ML, engineering teams—to integrate computational approaches into all stages of research.This is an outstanding opportunity for an accomplished computational biologist with proven leadership skills to make a significant impact in a fast-paced, innovative environment.

Key Responsibilities

• Team Leadership: Directly supervise, mentor, and develop a team of four computational biologists. Foster a collaborative, innovative, and high-performing team culture that drives the success of the company’s platform. Set clear goals and ensure the timely, high-quality delivery of project milestones.
• Strategic Direction: Define and execute the computational biology strategy in alignment with company objectives. Facilitate effective communication and collaboration between the computational biology team and other functions (e.g., Target Identification, Machine Learning, Engineering).
• Pipeline Oversight: Oversee computational pipelines for discovery-stage and preclinical programs. Build and maintain robust, scalable analysis pipelines and workflows to capture and analyze large-scale experimental datasets. In collaboration with the ML team, produce data packages that demonstrate the value of the AI platform in drug discovery.
• Platform Evaluation: Partner in the regular evaluation of the platform to ensure it can define and handle valuable large datasets and complex analyses according to the product roadmap. Collaborate with cross-functional teams to enhance the platform’s computational infrastructure, integrating advanced technologies to improve capabilities.
• Data Integration & Experimental Design: Identify and integrate external datasets in collaboration with the engineering and machine learning teams. Contribute to the design of experiments for model evaluation in partnership with the Target Identification and experimental teams.

Basic Qualifications

• PhD in Computational Biology, Bioinformatics, Genomics, or a related field
• 5+ years of relevant postdoctoral and/or industry experience in computational biology, bioinformatics, or multi-omics analysis.
• Demonstrated expertise in NGS data analysis, including amplicon sequencing, bulk and single-cell RNA-seq, and other profiling methods.
• Strong programming skills (e.g., R, Python), with experience in cloud computing and data management.
• Experience managing, mentoring, and developing direct reports.
• Proven ability to lead and manage all computational aspects of cross-functional projects/programs and communicating complex computational concepts to both technical and non-technical audiences.
• Strong analytical and problem-solving skills, with a focus on delivering practical, impactful solutions.
• Ability to align scientific/technological innovation with business objectives, driving technological differentiation and competitive advantage.

Preferred Qualifications

• Familiarity with AI/ML applications in drug discovery is a strong plus.
• Experience in a clinical-stage biotechnology company is highly desirable.
• Track record of scientific achievement through publications, patents, or successful project leadership in computational biology or bioinformatics.

What we offer

• A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. 
• Highly competitive compensation, including meaningful stock ownership.
• Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. 
• Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
• Maternity and parental leave top-up coverage, as well as new parent paid time off. 
• Focus on learning and growth for all employees - learning and development budget & lunch and learns.
• `Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.  If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.